"""
Contains the core of NumPy: ndarray, ufuncs, dtypes, etc.

Please note that this module is private.  All functions and objects
are available in the main ``numpy`` namespace - use that instead.

"""

from numpy.version import version as __version__

import os

# disables OpenBLAS affinity setting of the main thread that limits
# python threads or processes to one core
env_added = []
for envkey in ['OPENBLAS_MAIN_FREE', 'GOTOBLAS_MAIN_FREE']:
    if envkey not in os.environ:
        os.environ[envkey] = '1'
        env_added.append(envkey)

try:
    from . import multiarray
except ImportError as exc:
    import sys
    msg = """

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy c-extensions failed.
- Try uninstalling and reinstalling numpy.
- If you have already done that, then:
  1. Check that you expected to use Python%d.%d from "%s",
     and that you have no directories in your PATH or PYTHONPATH that can
     interfere with the Python and numpy version "%s" you're trying to use.
  2. If (1) looks fine, you can open a new issue at
     https://github.com/numpy/numpy/issues.  Please include details on:
     - how you installed Python
     - how you installed numpy
     - your operating system
     - whether or not you have multiple versions of Python installed
     - if you built from source, your compiler versions and ideally a build log

- If you're working with a numpy git repository, try `git clean -xdf`
  (removes all files not under version control) and rebuild numpy.

Note: this error has many possible causes, so please don't comment on
an existing issue about this - open a new one instead.

Original error was: %s
""" % (sys.version_info[0], sys.version_info[1], sys.executable,
        __version__, exc)
    raise ImportError(msg)
finally:
    for envkey in env_added:
        del os.environ[envkey]
del envkey
del env_added
del os

from . import umath

# Check that multiarray,umath are pure python modules wrapping
# _multiarray_umath and not either of the old c-extension modules
if not (hasattr(multiarray, '_multiarray_umath') and
        hasattr(umath, '_multiarray_umath')):
    import sys
    path = sys.modules['numpy'].__path__
    msg = ("Something is wrong with the numpy installation. "
        "While importing we detected an older version of "
        "numpy in {}. One method of fixing this is to repeatedly uninstall "
        "numpy until none is found, then reinstall this version.")
    raise ImportError(msg.format(path))

from . import numerictypes as nt
multiarray.set_typeDict(nt.sctypeDict)
from . import numeric
from .numeric import *
from . import fromnumeric
from .fromnumeric import *
from . import defchararray as char
from . import records as rec
from .records import *
from .memmap import *
from .defchararray import chararray
from . import function_base
from .function_base import *
from . import machar
from .machar import *
from . import getlimits
from .getlimits import *
from . import shape_base
from .shape_base import *
from . import einsumfunc
from .einsumfunc import *
del nt

from .fromnumeric import amax as max, amin as min, round_ as round
from .numeric import absolute as abs

# do this after everything else, to minimize the chance of this misleadingly
# appearing in an import-time traceback
from . import _add_newdocs
# add these for module-freeze analysis (like PyInstaller)
from . import _dtype_ctypes
from . import _internal
from . import _dtype
from . import _methods

__all__ = ['char', 'rec', 'memmap']
__all__ += numeric.__all__
__all__ += fromnumeric.__all__
__all__ += rec.__all__
__all__ += ['chararray']
__all__ += function_base.__all__
__all__ += machar.__all__
__all__ += getlimits.__all__
__all__ += shape_base.__all__
__all__ += einsumfunc.__all__

# Make it possible so that ufuncs can be pickled
#  Here are the loading and unloading functions
# The name numpy.core._ufunc_reconstruct must be
#   available for unpickling to work.
def _ufunc_reconstruct(module, name):
    # The `fromlist` kwarg is required to ensure that `mod` points to the
    # inner-most module rather than the parent package when module name is
    # nested. This makes it possible to pickle non-toplevel ufuncs such as
    # scipy.special.expit for instance.
    mod = __import__(module, fromlist=[name])
    return getattr(mod, name)

def _ufunc_reduce(func):
    from pickle import whichmodule
    name = func.__name__
    return _ufunc_reconstruct, (whichmodule(func, name), name)


import copyreg

copyreg.pickle(ufunc, _ufunc_reduce, _ufunc_reconstruct)
# Unclutter namespace (must keep _ufunc_reconstruct for unpickling)
del copyreg
del _ufunc_reduce

from numpy._pytesttester import PytestTester
test = PytestTester(__name__)
del PytestTester
